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Merge pull request #6 from PriyaTomar/dsaa2026
Update SSLLFM 2026 page and add navigation link
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‎ssllfm2026/index.md‎

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**Location**: Pride Plaza Hotel, Aerocity, New Delhi, India
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**Conference**: [DSAA 2026](https://dsaa2026.dsaa.co/) (IEEE International Conference on Data Science and Advanced Analytics)
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**Date**: October 6–9, 2026 (special session slot — *to be announced*)
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**Date**: October 6-9, 2026 (special session slot: TBA)
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Foundation models and large language systems have become indispensable technologies in data science and analysis,
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opening up powerful possibilities in the areas of text generation, knowledge extraction, and complex decision-making.
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drives research momentum, and identifies effective approaches for embedding large language models in data-driven
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applications across various fields.
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- Important dates (submission, notification, camera-ready): see the **[DSAA 2026](https://dsaa2026.dsaa.co/)** website.
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- Contact: `amllab[at]bit.uni-bonn.de`
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- Submission deadline: **May 30, 2026**
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- Paper notification: **August 10, 2026**
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- Camera-ready: **August 30, 2026**
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- Contact: `amllab@bit.uni-bonn.de`
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## Aims and Scope
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## Agenda
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*Program for SSLLFM 2026 will be announced closer to the conference.*
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*Program for SSLLFM 2026: TBA.*
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| Time | Paper / Speaker | Presenter |
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|------|-----------------|-----------|
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| TBA | To be announced | — |
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| TBA | TBA | TBA |
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## Keynotes
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*Keynotes for SSLLFM 2026 will be announced later.*
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*Keynotes for SSLLFM 2026: TBA.*
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## Submission
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## Previous Editions
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- **[SSLLFM 2025](https://appliedmachinelearning-lab.github.io/ssllfm2025/)** — Special Session at IEEE DSAA 2025, Birmingham, UK. 35 submissions, 8 accepted papers, 60+ participants.
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- **[WLLFM 2025](https://appliedmachinelearning-lab.github.io/wllfm2025/)** — Workshop at IEEE BigData 2025, Macau SAR, China. 29 submissions, 5 accepted papers, 50+ participants.
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- **[WLLFM 2024](https://sites.google.com/view/wllfm24)** — Workshop at IEEE BigData 2024, Washington DC, USA. 55 submissions, 19 accepted papers, 100+ participants.
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- **[WLLFM 2023](https://dhavalrepo18.github.io/bigdatafm/)** — Workshop at IEEE BigData 2023, Sorrento, Italy. 31 submissions, 11 accepted papers, 50+ participants.
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- **[SSLLFM 2025](https://appliedmachinelearning-lab.github.io/ssllfm2025/)** (Special Session at IEEE DSAA 2025, Birmingham, UK. 35 submissions, 8 accepted papers, 60+ participants.)
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- **[WLLFM 2025](https://appliedmachinelearning-lab.github.io/wllfm2025/)** (Workshop at IEEE BigData 2025, Macau SAR, China. 29 submissions, 5 accepted papers, 50+ participants.)
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- **[WLLFM 2024](https://sites.google.com/view/wllfm24)** (Workshop at IEEE BigData 2024, Washington DC, USA. 55 submissions, 19 accepted papers, 100+ participants.)
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- **[WLLFM 2023](https://dhavalrepo18.github.io/bigdatafm/)** (Workshop at IEEE BigData 2023, Sorrento, Italy. 31 submissions, 11 accepted papers, 50+ participants.)
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## Organizers
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## Program Committee
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- Lucie Flek — *Lamarr Institute for Artificial Intelligence and Machine Learning*, Germany
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- Christian Bauckhage — *Lamarr Institute for Artificial Intelligence and Machine Learning*, Germany
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- Ozlem Uzuner — *George Mason University*, USA
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- Lorenz Sparrenberg — *University of Bonn*, Germany
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- Priya Priya — *University of Bonn*, Germany
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- Tobias Deußer — *University of Bonn*, Germany
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- Armin Berger — *University of Bonn*, Germany
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- Manuela Bergau — *Fraunhofer IAIS*, Germany
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- Farizeh Aldabbas — *Fraunhofer IAIS*, Germany
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- Johannes Radu Hübers — *Fraunhofer IAIS*, Germany
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- Aashish Jain — *Salesforce*, USA
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- Zian Wang — *Stony Brook University*, USA
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- Qiushui Xu — *Penn State University*, USA
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- Qikai Yang — *University of Illinois Urbana-Champaign*, USA
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- Zheng Liu — *Northeastern University*, USA
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- Tingting Tang — *University of Southern California*, USA
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- Bo Yuan — *Georgia Institute of Technology*, USA
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- Yunzhe Wang — *University of Southern California*, USA
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- Yong Liu — *Salesforce*, USA
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- Mounika Kamsali Veera — *Walmart*, USA
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- Lisa Pucknat — *AXA*, Germany
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- Pengfei Li — *Visa Research*, USA
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- Surya Lakshmi Sujitha Pasumarty — *Albertsons*, USA
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- Yingfan Wang — *Duke University*, USA
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- Tian Long Xu — *Squirrel AI Learning*, USA
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- Hao Yan — *George Mason University*, USA
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- Mingxuan Yang — *Brown University*, USA
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- Dezhi Yu — *University of California, Berkeley*, USA
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- Haodong Zhang — *New York University*, USA
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- Lucie Flek, *Lamarr Institute for Artificial Intelligence and Machine Learning*, Germany
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- Christian Bauckhage, *Lamarr Institute for Artificial Intelligence and Machine Learning*, Germany
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- Ozlem Uzuner, *George Mason University*, USA
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- Lorenz Sparrenberg, *University of Bonn*, Germany
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- Priya Priya, *University of Bonn*, Germany
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- Tobias Deußer, *University of Bonn*, Germany
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- Armin Berger, *University of Bonn*, Germany
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- Manuela Bergau, *Fraunhofer IAIS*, Germany
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- Farizeh Aldabbas, *Fraunhofer IAIS*, Germany
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- Johannes Radu Hübers, *Fraunhofer IAIS*, Germany
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- Aashish Jain, *Salesforce*, USA
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- Zian Wang, *Stony Brook University*, USA
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- Qiushui Xu, *Penn State University*, USA
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- Qikai Yang, *University of Illinois Urbana-Champaign*, USA
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- Zheng Liu, *Northeastern University*, USA
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- Tingting Tang, *University of Southern California*, USA
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- Bo Yuan, *Georgia Institute of Technology*, USA
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- Yunzhe Wang, *University of Southern California*, USA
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- Yong Liu, *Salesforce*, USA
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- Mounika Kamsali Veera, *Walmart*, USA
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- Lisa Pucknat, *AXA*, Germany
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- Pengfei Li, *Visa Research*, USA
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- Surya Lakshmi Sujitha Pasumarty, *Albertsons*, USA
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- Yingfan Wang, *Duke University*, USA
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- Tian Long Xu, *Squirrel AI Learning*, USA
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- Hao Yan, *George Mason University*, USA
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- Mingxuan Yang, *Brown University*, USA
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- Dezhi Yu, *University of California, Berkeley*, USA
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- Haodong Zhang, *New York University*, USA

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